Table 3

Performance characteristics of the predictors in the classification trees with 95% confidence intervals
Classification Sensitivity Specificity Negative predictive value Positive predictive value
Chance (random classification) 0.50 [0.40, 0.58] 0.50 [0.43, 0.58] 0.56 [0.46, 0.66] 0.45 [0.33, 0.56]
Screener conservative 0.34 [0.21, 0.48] 0.89 [0.82, 0.96] 0.63 [0.53, 0.73] 0.72 [0.54, 0.88]
Screener progressive 0.87 [0.74, 0.93] 0.30 [0.19, 0.39] 0.73 [0.54, 0.86] 0.49 [0.39, 0.58]

Bootstrapped (200 iterations) 95% confidence intervals are displayed within brackets [lower, upper]; Screener conservative interprets subgroup III as responding negative to treatment; Screener progressive interprets subgroup III as responding positive to treatment; Sensitivity is the proportion of actual positive treatment responders which are correctly identified; Specificity is the proportion of negative treatment responders which are correctly identified; Negative predictive value is the proportion of participants with negative predicted outcome who are correctly identified; Positive predictive value is the proportion of participants with positive predicted outcome who are correctly identified.

Blankers et al.

Blankers et al. BMC Public Health 2013 13:455   doi:10.1186/1471-2458-13-455

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